Related Servers

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Related Servers

• JSON to TOON MCP Server

  mhabedini

  A

  license

  A

  quality

  D

  maintenance

  Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

  Updated 10 months ago (2025-12-03 23:15 UTC)

  3

  14 npm

  1

  MIT

• toon-mcp

  kweinmeister

  A

  license

  A

  quality

  B

  maintenance

  Enables encoding JSON into compact TOON format and decoding TOON back to JSON, reducing token usage for LLM prompts.

  Updated 5 days ago (2026-10-10 12:23 UTC)

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• latent-gate

  KathanModh259

  A

  license

  -Not graded

  quality

  A

  maintenance

  Shrinks logs, JSON, docs and web pages before your AI reads them: offline, deterministic, no API key. Folds repetitive log lines (12,037 to 127 tokens on a 400-line log) while code, URLs and quoted strings come back byte-for-byte. Also fetches URLs as clean text, counts tokens exactly, and has optional local Ollama tools for image and text compression.

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  Academic Free v1.1

• TOON MCP Server

  elminson

  A

  license

  A

  quality

  D

  maintenance

  Enables users to convert structured data into Token-Oriented Object Notation (TOON) to reduce LLM token usage and costs by up to 70%. It provides tools for encoding, decoding, and analyzing data formats like JSON, CSV, and XML to optimize prompt efficiency.

  Updated 8 months ago (2026-02-13 03:30 UTC)

  4

  14 npm

  3

  MIT

• JSON2TOON MCP Server

  muhammedehab35

  A

  license

  B

  quality

  C

  maintenance

  Advanced Token-Optimized Object Notation MCP server that compresses JSON with up to 85% token reduction using AI-powered pattern detection, providing lossless compression and decompression through 12 MCP tools.

  Updated 9 months ago (2025-12-31 17:15 UTC)

  12

  9

  MIT

• TOON MCP Server

  HasnainAli47

  A

  license

  -Not graded

  quality

  D

  maintenance

  Converts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.

  Updated 10 months ago (2025-11-30 12:15 UTC)

  MIT